Broad suite of statistical features

Publication-quality graphics

You can point and click to create a custom graph. Or you can write scripts to
produce hundreds or thousands of graphs in a reproducible manner.
Export graphs to EPS or TIFF for publication, to
PNG or SVG for the web, or to PDF for viewing. With the
integrated Graph Editor,
you click to change anything about your graph or to add titles, notes, lines, arrows, and text.

Truly reproducible reporting

All the tools you need to automate reporting your results.

Dynamic Markdown documents

Create Word documents

Create PDF documents

Create Excel files

Schemes for graphics

Word, HTML, PDF, SVG, PNG

Truly reproducible research

Lots of folks talk about reproducible research.Stata has been dedicated to it for over 30 years.

We constantly add new features; we have even fundamentally changed language elements. No matter. Stata is the only statistical package with integrated versioning. If you wrote a script to perform an analysis in 1985, that same script will still run and still produce the same results today. Any dataset you created in 1985, you can read today. And the same will be true in 2050. Stata will be able to run anything you do today.

We take reproducibility seriously.

Real documentation

When it comes time to perform your analyses or understand the methods you are using, Stata does not leave you high and dry or ordering books to learn every detail.

Each of our data management features is fully explained and documented and shown in practice on real examples. Each estimator is fully documented and includes several examples on real data, with real discussions of how to interpret the results. The examples give you the data so you can work along in Stata and even extend the analyses. We give you a Quick start for every feature, showing some of the most common uses. Want even more detail? Our Methods and formulas sections provide the specifics of what is being computed, and our References point you to even more information.

Stata is a big package and so has lots of documentation – over 14,000 pages in 27 volumes. But don't worry, type helpmy topic, and Stata will search its keywords, indexes, and even community-contributed packages to bring you everything you need to know about your topic. Everything is available right within Stata.

Trusted

We don't just program statistical methods, we validate them.

The results you see from a Stata estimator rest on comparisons with other estimators, Monte Carlo simulations of consistency and coverage, and extensive testing by our statisticians. Every Stata we ship has passed a certification suite that includes 3.2 million lines of testing code that produces 4.9 million lines of output. We certify every number and piece of text from those 4.3 million lines of output.

Easy to use

All of Stata's features can be accessed through
menus, dialogs, control panels, a Data Editor, a Variables Manager, a Graph Editor, and even an SEM Diagram Builder.
You can point and click your way through any analysis.

If you don't want to write commands and scripts, you don't have to.

Even when you are pointing and clicking, you can record all your
results and later include them in reports. You can even save the
commands created by your actions and reproduce your complete
analysis later.

Easy to grow with

Stata's commands for performing tasks are intuitive and easy to learn. Even better, everything you learn about performing a task can be applied to other tasks. For example, you simply add if gender=="female" to any command to limit your analysis to females in your sample. You simply add vce(robust) to any estimator to obtain standard errors and hypothesis tests that are robust to many common assumptions.

The consistency goes even deeper. What you learn about data management commands often applies to estimation commands, and vice-versa. There is also a full suite of postestimation commands to perform hypothesis tests, form linear and nonlinear combinations, make predictions, form contrasts, and even perform marginal analysis with interaction plots. These commands work the same way after virtually every estimator.

Sequencing commands to read and clean data, then to perform statistical tests and estimation, and finally to report results is at the heart of reproducible research. Stata makes this process accessible to all researchers.

Easy to automate

Everyone has tasks that they do all the time—create a particular kind of variable, produce a particular table, perform a sequence of statistical steps, compute an RMSE, etc. The possibilities are endless. Stata has thousands of built-in procedures, but you may have tasks that are relatively unique or that you want done in a specific way.

If you have written a script to perform your task on a given dataset, it is easy to transform that script into something that can be used on all your datasets, on any set of variables, and on any set of observations.

Easy to extend

Some of the things you automate may be so useful that you want to share them with colleagues or even make them available to all Stata users. That's also easy. With just a little code, you can turn an automation script into a Stata command. A command that supports standard features that Stata's official commands support. A command that can be used in the same way official commands are used.

Advanced programming

Stata also includes an advanced programming language—Mata.

Mata has the structures, pointers, and classes that you expect in your programming language and adds direct support for matrix programming.

Though you don't need to program to use Stata, it is comforting to know that a fast and complete programming language is an integral part of Stata. Mata is both an interactive environment for manipulating matrices and a full development environment that can produce compiled and optimized code. It includes special features for processing panel data, performs operations on real or complex matrices, provides complete support for object-oriented programming, and is fully integrated with every aspect of Stata. Stata also has comprehensive Python integration, allowing you to harness all the power of Python directly from your Stata code.

Community-contributed features

Stata is so programmable that developers and users add new features every day to respond to the growing demands of today's researchers.

With Stata's Internet capabilities, new features and official updates can be installed over the Internet with a single click.

World-class technical support

Stata technical support is free to registered users, which means you get much more than you pay for.

We have a dedicated staff of expert Stata programmers and statisticians to answer your technical questions. From tricky data management solutions to getting your graph looking just right and from explaining a robust standard error to specifying your multilevel model, we have your answers.

Cross-platform compatible

Stata will run on Windows, Mac, and Linux/Unix computers; however, our licenses are not platform specific.

That means if you have a Mac laptop and a Windows desktop, you don't need two separate licenses to run Stata. You can install your Stata license on any of the supported platforms. Stata datasets, programs, and other data can be shared across platforms without translation. You can also quickly and easily import datasets from other statistical packages, spreadsheets, and databases.

Institutional research

Public health

Biostatistics

Epidemiology

Medicine

Public policy

Data science

Finance, business, and marketing

Political science

Sociology

Economics

Stata is distributed in more than 180 countries. Our authorized distributors offer services such as basic technical support and training, and carry Stata inventory so delivery is fast.

Comprehensive resources

Video tutorials

Stata's YouTube channel is the perfect resource for new users to Stata, users wanting to learn a new feature in Stata, and professors looking for aids in teaching with Stata. We have over 250 videos on our YouTube channel that have been viewed over 6 million times by Stata users wanting to learn how to label variables, merge datasets, create scatterplots, fit regression models, work with time-series or panel data, fit multilevel models, analyze survival data, perform Bayesian analylsis, and use many other features of Stata. View the complete list of videos.

Stata Blog

We write the official Stata Blog, Not Elsewhere Classified (NEC),
to share things we think you will find instructive, informative, or just plain
entertaining. We have written about how to interpret statistical results;
export results into Word, Excel, and LaTeX; perform Monte Carlo simulations;
program your own estimators; and more. We also post service and product
announcements. Individually signed, the articles in NEC are written by the
same people who develop and support Stata.

Free Stata webinars

Stata webinars offer something for everyone. Those new to Stata
will get a head start when they join our
Ready. Set. Go Stata
webinar. Both new and experienced users will want to join
our Tips and Tricks webinar
and our one-hour feature webinars; each one provides an in-depth look at
one of Stata's statistical, graphical, data management, or reporting
features.

Training

A multitude of
training options are available to
become proficient at Stata quickly. Stata provides hands-on classroom and web-based
training courses, customized on-site training courses, and online
training through NetCourses, webinars, and video tutorials.

Stata Press

Stata Press®
publishes books, manuals, and journals about Stata and general statistics topics for professional researchers of all disciplines. Stata Press® publications, along with books recommended by StataCorp, can be found in the Stata Bookstore.

Stata News

The Stata News
is a free publication with columns such as the popular
In the Spotlight, where Stata developers give insight into
specific Stata features, and the User's corner, where we share
unique, helpful, and fun contributions from the user community.
The News also contains announcements such as new releases and
updates, training schedules, new books, Conferences, and Users Group
meetings.

Stata Journal

The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other materials of interest to researchers applying statistics in a variety of disciplines.

Vibrant community

Stata Conference and Users Group meetings

Whether you are a beginner or an expert, you will find something just
for you at the Users Group meetings, which are held each year in various
locations around the world. These meetings showcase in-depth
presentations from StataCorp experts and experienced Stata users
that focus on helping you use Stata more effectively.

A great resource for users is Statalist, a forum where more than
35,000 Stata users exchange roughly 5,000 postings and responses each
month. Statalist is run and moderated by Stata users and maintained by
StataCorp.

Our users love to share how great Stata is, so we'd like to show you!
When we receive nice comments about Stata, we post them here. If you
think Stata is great too, send us an email with your comment, and we may
share it with the Stata community.

Affordable

Stata is not sold in modules, which means you get everything in one package!

Stata offers several purchase options to fit your budget. You can choose an annual license to ensure you always have access to the latest features or you can choose a perpetual license. Contact a sales
representative or browse our products to find out more about our affordable options. You can also download a product brochure.

Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and reproducible reporting. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual licence, with nothing more to buy ever. Annual licences are also available.

Whether you're a student or a seasoned research professional, a range of Stata packages are available and designed to suit all needs.

All of the following flavours of Stata have the same complete set of commands and features and manuals included as PDF documentation within Stata.

Stata/MP: The fastest version of Stata (for dual-core, quad-core and multicore/multiprocessor computers)

Stata/MP is the fastest and largest version of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster.

Stata/MP is faster-much faster. Stata/MP lets you analyze data in one-half to two-thirds of the time compared to Stata/SE on inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops.

Stata/MP runs even faster on multiprocessor servers. Stata/MP supports up to 64 processors/cores.

Speed is often most crucial when performing computationally intense estimation procedures. A few of Stata’s estimation procedures, including linear regression, are nearly perfectly parallelized, meaning they run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Some estimation commands can be parallelized more than others. Taken at the median, estimation commands runs 1.9 times faster on two cores, 3.1 times faster on four cores, and 4.3 times faster on eight cores.

Stata/MP is 100% compatible other versions of with Stata. Analyses do not have to be reformulated or modified in any way to obtain Stata/MP’s speed improvements.

Stata/MP is available for the following operating systems:

Windows (64-bit processors);

macOS (64-bit Intel processors);

Linux (64-bit processors);

To run Stata/MP, you can use a desktop computer with a dual-core or quad-core processor, or you can use a server with multiple processors. Whether a computer has separate processors or one processor with multiple cores makes no difference. More processors or cores makes Stata/MP run faster.

For more advice on purchasing/upgrading to Stata/MP or for hardware queries, please contact our sales team.

Stata/SE and Stata/IC differ only in the dataset size that each can analyse. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyse up to 2 billion observations.

Stata for Unix

Please note: The 32-bit and Solaris download options are still available, but by request only.

Hardware requirements

Minimum of 1 GB of RAM for Stata/IC, 2GB for Stata/SE and 4GB for Stata/MP

Minimum of 1 GB of disk space for all versions

Stata for Unix requires a video card that can display thousands of colours or more (16-bit or 24-bit colour)

Find out all about Stata’s expansive range of statistical features using the table of contents below. Each section links to further details and examples to help users get the best out of their software.

Stata 16 Documentation

Every installation of Stata includes all the documentation in PDF format. Stata’s documentation consists of over 15,000 pages detailing each feature in Stata including the methods and formulas and fully worked examples. You can transition seamlessly across entries using the links within each entry.